Sayani Majumdar

According to our database, Sayani Majumdar authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2023

Back-End and Flexible Substrate Compatible Analog Ferroelectric Field-Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators.

Sayani Majumdar, Ioannis Zeimpekis

Adv. Intell. Syst., November, 2023

Modelling Ferroelectric Hysteresis of HZO Capacitor with Jiles-Atherton Model for Non-Volatile Memory Applications.

Ella Paasio, Mika Prunnila, Sayani Majumdar

Proceedings of the 12th Non-Volatile Memory Systems and Applications Symposium, 2023

2022

An efficient deep neural network accelerator using controlled ferroelectric domain dynamics.

Sayani Majumdar

Neuromorph. Comput. Eng., December, 2022

Efficient Deep Neural Network Accelerator Using Controlled Ferroelectric Domain Dynamics.

Sayani Majumdar

CoRR, 2022

Back-End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing.

Sayani Majumdar

Adv. Intell. Syst., 2022

2019

Mimicking Neurotransmitter Release and Long-Term Plasticity by Oxygen Vacancy Migration in a Tunnel Junction Memristor.

Hongwei Tan, Sayani Majumdar, Qihang Qin, Jouko Lahtinen, Sebastiaan van Dijken

Adv. Intell. Syst., 2019